Customer Solutions Engineer

Cisco

Forward Deployed Engineer helping Cisco enterprise customers deploy scalable AI systems. Designing architectures, building integrations, and solving production challenges with Product and Engineering teams.

Posted 8/5/2026full-timeBangalore • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing scalable AI solution architectures and deploying production-grade applications, with a strong focus on customer collaboration and technical problem-solving. Proficient in building integrations and reusable tools that enhance customer success in enterprise environments.

Highest-signal resume keywords

AI Solution ArchitectureProduction DeploymentsAPIs and Distributed SystemsTroubleshooting and Problem-SolvingCustomer-Facing Technical Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringScalable ApplicationsCloud PlatformsBackend DevelopmentMachine LearningGenerative AIKubernetesMLOpsTechnical DocumentationIntegration Development

Soft Skills

Excellent CommunicationCollaborationProblem-SolvingAdaptabilityCustomer Engagement

Tools & Technologies

Cloud InfrastructureObservability ToolsDeveloper PlatformsPrototyping ToolsReusable Frameworks

Industry Keywords

Enterprise CustomersTechnical WorkshopsProduction IssuesTechnical Customer SuccessSolutions Engineering

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact

Partner with enterprise customers to understand technical requirements and business goals
Design scalable AI solution architectures and guide customers through production deployments
Build integrations, prototypes, and reusable tools that accelerate customer success
Lead technical workshops and architecture discussions
Troubleshoot complex production issues
Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements
Create documentation, reusable best practices, and technical assets for future deployments
Work with Fortune 100 organizations to bring AI systems into production

Requirements

What you’ll need

Bachelor's degree in Computer Science or a related technical field (or equivalent experience)
8–12 years of software engineering experience building scalable, production-grade applications
Experience with APIs, distributed systems, cloud platforms, or backend development
Strong troubleshooting and problem-solving skills across multiple layers of the technology stack
Excellent communication skills and ability to work directly with enterprise customers
Comfortable working in fast-paced, ambiguous environments
Interest in AI, Machine Learning, or developer platforms
Preferred: experience deploying or supporting Generative AI, LLM, or Machine Learning applications in production
Preferred: experience with Kubernetes, cloud infrastructure, observability, or MLOps
Preferred: experience building customer-facing technical solutions or integrations
Preferred: experience creating reusable developer tools, frameworks, or open-source contributions
Preferred: consulting, Solutions Engineering, or Technical Customer Success experience in enterprise environments

Benefits

Comp & perks

Opportunities to grow and build
Global network of thinkers, doers, experts, and curious creators
Opportunities to experiment and learn
Collaborative team environment